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Social Computing, Behavioral-Cultural Modeling, and Prediction

Overview of attention for book
Social Computing, Behavioral-Cultural Modeling, and Prediction
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 A Network-Based Model for Predicting Hashtag Breakouts in Twitter
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    Chapter 2 Temporal Causality of Social Support in an Online Community for Cancer Survivors
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    Chapter 3 Are You Satisfied with Life?: Predicting Satisfaction with Life from Facebook
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    Chapter 4 Social Computing for Impact Assessment of Social Change Projects
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    Chapter 5 Social Network Extraction and High Value Individual (HVI) Identification within Fused Intelligence Data
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    Chapter 6 Structural Properties of Ego Networks
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    Chapter 7 Conflict and Communication in Massively-Multiplayer Online Games
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    Chapter 8 The Impact of Human Behavioral Changes in 2014 West Africa Ebola Outbreak
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    Chapter 9 Social Complexity in the Virtual World
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    Chapter 10 A Model of Policy Formation Through Simulated Annealing: The Impact of Preference Alignment on Productivity and Satisfaction
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    Chapter 11 VIP: Incorporating Human Cognitive Biases in a Probabilistic Model of Retweeting
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    Chapter 12 The Influence of Collaboration on Research Quality
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    Chapter 13 Detecting Rumors Through Modeling Information Propagation Networks in a Social Media Environment.
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    Chapter 14 Subjective versus Objective Questions: Perception of Question Subjectivity in Social Q&A
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    Chapter 15 Analysis of Music Tagging and Listening Patterns: Do Tags Really Function as Retrieval Aids?
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    Chapter 16 A Novel Mental State Model of Social Perception of Brand Crisis from an Entertainment Perspective
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    Chapter 17 Network-Based Group Account Classification
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    Chapter 18 Persistence in Voting Behavior: Stronghold Dynamics in Elections
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    Chapter 19 Efficient Learning of User Conformity on Review Score
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    Chapter 20 Are Tweets Biased by Audience? An Analysis from the View of Topic Diversity
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    Chapter 21 Advantages of Cooperative Behavior During Tsunami Evacuation
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    Chapter 22 Learning Automated Agents from Historical Game Data via Tensor Decomposition
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    Chapter 23 A Comparative Study of Symptom Clustering On Clinical and Social Media Data
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    Chapter 24 Women’s Right to Drive: Spillover of Brokers, Mobilization, and Cyberactivism
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    Chapter 25 A Mathematical Epidemiology Approach for Identifying Critical Issues in Social Media
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    Chapter 26 Analyzing Deviant Cyber Flash Mobs of ISIL on Twitter
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    Chapter 27 Social Behavior Bias and Knowledge Management Optimization
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    Chapter 28 Passive Crowd Sourcing for Technology Prediction
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    Chapter 29 How to Predict Social Trends by Mining User Sentiments
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    Chapter 30 ‘Linguistics-Lite’ Topic Extraction from Multilingual Social Media Data
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    Chapter 31 Mining Business Competitiveness from User Visitation Data
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    Chapter 32 Automatic Tonal Music Composition Using Functional Harmony
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    Chapter 33 Gaming the Social System: A Game Theoretic Examination of Social Influence in Risk Behaviour
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    Chapter 34 MECH: A Model for Predictive Analysis of Human Choices in Asymmetric Conflicts
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    Chapter 35 Using Topic Models to Measure Social Psychological Characteristics in Online Social Media
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    Chapter 36 Expanding Consumer Health Vocabularies by Learning Consumer Health Expressions from Online Health Social Media
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    Chapter 37 Identifying Correlates of Homicide Rates in Michoacán, Mexico
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    Chapter 38 A Preliminary Model of Media Influence on Attitude Diffusion
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    Chapter 39 A Study of Daily Sample Composition on Amazon Mechanical Turk
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    Chapter 40 The Controlled, Large Online Social Experimentation Platform (CLOSE)
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    Chapter 41 Early Prediction of Movie Success — What, Who, and When
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    Chapter 42 Risk Management in Asymmetric Conflict: Using Predictive Route Reconnaissance to Assess and Mitigate Threats
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    Chapter 43 Styles in the Fashion Social Network: An Analysis on Lookbook.nu
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    Chapter 44 Beyond Mere Following: Mention Network, a Better Alternative for Researching User Interaction and Behavior
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    Chapter 45 Agent-Based Models of Copycat Suicide
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    Chapter 46 Analyzing Second Screen Based Social Soundtrack of TV Viewers from Diverse Cultural Settings
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    Chapter 47 Error-Correction and Aggregation in Crowd-Sourcing of Geopolitical Incident Information
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    Chapter 48 Socio-Spatial Pareto Frontiers of Twitter Networks
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    Chapter 49 SOR: A Protocol for Requests Dissemination in Online Social Networks
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    Chapter 50 Resilience of Criminal Networks
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    Chapter 51 Modeling Group Dynamics for Personalized Group-Event Recommendation
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    Chapter 52 Determinants of User Ratings in Online Business Rating Services
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    Chapter 53 Social Support and Stress in Autism Blogging Community on Twitter
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    Chapter 54 Dynamics of a Repulsive Voter Model
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    Chapter 55 Ride Sharing: A Network Perspective
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    Chapter 56 Complex Interactions in Social and Event Network Analysis
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    Chapter 57 Quantifying Tactical Risk: A Framework for Statistical Classification Using MECH
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    Chapter 58 An Analysis of MOOC Discussion Forum Interactions from the Most Active Users
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    Chapter 59 Inferring User Interests on Tumblr
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    Chapter 60 Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources
Attention for Chapter 21: Advantages of Cooperative Behavior During Tsunami Evacuation
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Chapter title
Advantages of Cooperative Behavior During Tsunami Evacuation
Chapter number 21
Book title
Social Computing, Behavioral-Cultural Modeling, and Prediction
Published by
Springer International Publishing, March 2015
DOI 10.1007/978-3-319-16268-3_21
Book ISBNs
978-3-31-916267-6, 978-3-31-916268-3
Authors

Adam Slucki, Radosław Nielek, Slucki, Adam, Nielek, Radosław

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 50%
Lecturer 1 13%
Lecturer > Senior Lecturer 1 13%
Student > Master 1 13%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 3 38%
Business, Management and Accounting 2 25%
Engineering 2 25%
Earth and Planetary Sciences 1 13%

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